Ompy v1.1.0

Most important changes:

• Changed response function interpolation between Compton edge and he chosen max. energy. Before, there was a misunderstanding of the bin-by-bin interpolation in Guttormsen1996. It now used a fan-like interpolation, too. Most noticable for response functions with small fwhm (like 1/10 Magne recommends for unfolding).

OMpy v1.0.0

Several changes, most important:

theoretical framework:

• Corrected likelihood: Forgot non-constant K term when K=K(theta): c8c0046

parameters and choices:

• unfolding parameters: 0fcafe2
• unfolder and fg method use remove negatives only, no fill: 9edb485
• Randomize p0 for decomposition 77dec9d

implementation and convenience:

• different save/load for vectors e5f7e52 and parent commits
• Enable pickling of normalizer instances via dill: 896b352

OMpy v0.9.1

Changes:

• corrected version number
  (v 0.9.0 has still v.0.8.0 as the version number)

OMpy v0.9

Many changes to the API have occured since v.0.2. Here a (incomplete) summary of the main changes:

• Vector and Matrix are now in mid-bin calibration. Most or all other functions have been adopted.
• Many changes (bugfix & readability) to the ensemble, decomposition and normalization classes.
• Normalization of nld and gsf ensembles working
• Parallelization, even though it could be more efficient for multinest (see #94 )
• Renamed response functions submodule; run git submodule update --init --recursive after git pull to get the new files
• remember to run pip install -e . such that changes to the cython files will be recompiled
• Documentation now available via https://ompy.readthedocs.io
• Installation requirements are hopefully all specified; docker file is provided with integration at https://hub.docker.com/r/oslocyclotronlab/ompy and mybinder can be used to rund the examples.
• We have clean-up the history of the repo to downsize it.
  Here the warning message: NB: Read this (only) if you have cloned the repo before October 2019: We cleaned the repository from old comits clogging the repo (big data files that should never have been there). Unfortunetely, this has the sideeffect that the history had to be rewritten: Previous commits now have a different SHA1 (git version keys). If you need anything from the previous repo, see ompy_Archive_Sept2019. This will unfortunately also destroy references in issues. The simplest way to get the new repo is to rerun the installation instructions below.

OMpy v0.2-beta

This is the first public beta version of the OMpy library, the Oslo Method in Python.

NB: Read this (only) if you have cloned the repo before October 2019 (which affects this release, v0.2-beta):
We cleaned the repository from old comits clogging the repo (big data files that should never have been there). Unfortunetely, this has the sideeffect that the history had to be rewritten: Previous commits now have a different SHA1 (git version keys). If you need anything from the previous repo, see ompy_Archive_Sept2019. This will unfortunately also destroy references in issues. The simplest way to get the new repo is to rerun the installation instructions below.

In essence: This tag does not work any longer; you have to download the version from https://zenodo.org/record/2654604